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research article

Adaptation and learning over complex networks [From the Guest Editors]

Sayed, Ali H.  
•
Barbarossa, Sergio
•
Theodoridis, Sergios
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2013
IEEE Signal Processing Magazine

The topic of this special issue deals with a subject matter that has been receiving immense attention from various research communities, and not only within the signal processing community. Discusses research and development in the area of the adaption and learning over complex network systems. Extensive research efforts on information processing over graphs exist within other fields such as statistics, computer science, optimization, control, economics, machine learning, biological sciences, and social sciences. Different fields tend to emphasize different aspects and challenges; nevertheless, opportunities for mutual cooperation are abundantly clear, and the role that signal processing plays in this domain is of fundamental importance.

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Type
research article
DOI
10.1109/MSP.2013.2240191
Author(s)
Sayed, Ali H.  
Barbarossa, Sergio
Theodoridis, Sergios
Yamada, Isao
Date Issued

2013

Publisher

IEEE

Published in
IEEE Signal Processing Magazine
Volume

30

Issue

3

Start page

14

End page

15

Editorial or Peer reviewed

REVIEWED

Written at

OTHER

EPFL units
ASL  
Available on Infoscience
December 19, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/143332
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